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Fuzzy Logic - artificial intelligence:
In the above logic, we have been concerned with truth whether propositions and sentences are true. But, with some natural language statements, it is difficult to assign a "true" or "false" value. For instance, is the sentence: "Prince Charles is tall" true or false? Some people may say true, and others may say false, so there is an underlying probability that we might also want to represent. This can be attaining with so-called "fuzzy" logics. As such, the originator of fuzzy logics, Lotfi Zadeh, advocates not thinking about specific fuzzy logics but rather thinking about "fuzzification" of current theories, and this is starting to play a part in Artificial Intelligence. The arrangement of logics with programming agents and theories of probability to reason in the light of uncertain knowledge are important areas of Artificial Intelligence research. Various representation schemes such as Stochastic Logic Programs have an aspect of both logic and probability.
Accessing a Cache: Direct mapping: (Block address) modulo (Number of cache block in the cache) The valid bit indicate whether an entry contain a valid address.
How can I read .doc document in ASP.Net? You can read from a text file like this. Private void Button12_Click(object sender, System.EventArgs e) { string path="C:
Standard typewriter : You must have seen this manually operated machine. Standard typewriters of various makes such as Remington, Fact, Godrej, etc., are available in the market.
Prolog: Still we can take our card game from the previous lecture like a case study for the implementation of a logic-based expert system. So there the rules were: four cards
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